Efficient Plant Jan./Feb. 2024 - 12

feature | IIoT Strategies
Base
Maintenance
On Data
John Gaddum
Bosch Rexroth
INDUSTRY 4.0 IS in full swing and the
manufacturing leaders in this era will be
companies that are leveraging predictive
analytics to create a comprehensive, digital
preventive-maintenance program to ensure
operations are delivering peak performance.
Unplanned downtime, caused by machine
failure, has been, and continues to be, a
major issue for manufacturers. Unscheduled
stoppages oſt en result in lost sales, increased
expenses to repair or replace machines, and
frustrated customers who may not receive
shipments in a timely manner.
Predictive-maintenance programs mitigate
those risks by helping plant managers
know the condition of their machines so
repairs and maintenance can be scheduled
12 | EFFICIENTPLANTMAG.COM
in advance to avoid unexpected downtime.
Th e data backs it up. According to a
National Institute of Standards and Technology
study (doi.org/10.36001/ijphm.2021.
v12i1.2883), companies that integrate
predictive analytics in their preventive-maintenance
programs reported 53%
less unplanned downtime and 79% fewer
equipment defects.
Th e rapidly growing sophistication of
automation technology-artifi cial intelligence,
machine learning, and robotic
process automation-is contributing to the
increasing adoption of predictive-maintenance
solutions. So are the increasing
sophistication and abilities to monitor
equipment wear and alert plant managers
Use these four steps to
implement predictive
analytics in your
preventive-maintenance
program.
Integrating predictive
analytics into a preventive-maintenance
program
will reduce downtime
by 53% and equipment
defects by 79%.
to schedule repairs or maintenance before a
malfunction aff ects productivity.
In addition to minimizing unplanned
downtime, digital predictive-maintenance
programs benefi t businesses in several other
ways:
Extended machine/equipment lives:
Th rough historical practices such as preventive
maintenance, properly maintained
machines last longer and perform more
effi ciently. Plant operators who consistently
monitor asset maintenance and machine
usage data are better informed about when to
make timely repairs and perform upkeep to
extend the lifespan of their machines. Overall
equipment eff ectiveness (OEE) is the common
practice for monitoring and measuring the
JAN/FEB 2024

https://doi.org/10.36001/ijphm.2021.v12i1.2883 http://www.EFFICIENTPLANTMAG.COM

Efficient Plant Jan./Feb. 2024

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Efficient Plant Jan./Feb. 2024 - Cover1
Efficient Plant Jan./Feb. 2024 - Cover2
Efficient Plant Jan./Feb. 2024 - 1
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Efficient Plant Jan./Feb. 2024 - Cover3
Efficient Plant Jan./Feb. 2024 - Cover4
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